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PLoS One
2015 Jan 01;109:e0138696. doi: 10.1371/journal.pone.0138696.
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Understanding the Spatio-Temporal Response of Coral Reef Fish Communities to Natural Disturbances: Insights from Beta-Diversity Decomposition.
Lamy T
,
Legendre P
,
Chancerelle Y
,
Siu G
,
Claudet J
.
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Understanding how communities respond to natural disturbances is fundamental to assess the mechanisms of ecosystem resistance and resilience. However, ecosystem responses to natural disturbances are rarely monitored both through space and time, while the factors promoting ecosystem stability act at various temporal and spatial scales. Hence, assessing both the spatial and temporal variations in species composition is important to comprehensively explore the effects of natural disturbances. Here, we suggest a framework to better scrutinize the mechanisms underlying community responses to disturbances through both time and space. Our analytical approach is based on beta diversity decomposition into two components, replacement and biomass difference. We illustrate this approach using a 9-year monitoring of coral reef fish communities off Moorea Island (French Polynesia), which encompassed two severe natural disturbances: a crown-of-thorns starfish outbreak and a hurricane. These disturbances triggered a fast logistic decline in coral cover, which suffered a 90% decrease on all reefs. However, we found that the coral reef fish composition remained largely stable through time and space whereas compensatory changes in biomass among species were responsible for most of the temporal fluctuations, as outlined by the overall high contribution of the replacement component to total beta diversity. This suggests that, despite the severity of the two disturbances, fish communities exhibited high resistance and the ability to reorganize their compositions to maintain the same level of total community biomass as before the disturbances. We further investigated the spatial congruence of this pattern and showed that temporal dynamics involved different species across sites; yet, herbivores controlling the proliferation of algae that compete with coral communities were consistently favored. These results suggest that compensatory changes in biomass among species and spatial heterogeneity in species responses can provide further insurance against natural disturbances in coral reef ecosystems by promoting high levels of key species (herbivores). They can also allow the ecosystem to recover more quickly.
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???displayArticle.pmcLink???PMC4578945 ???displayArticle.link???PLoS One
Fig 1. Map of the 13 reefs surveyed from 2004 to 2012 on Moorea Island.Reefs are labelled from 1 to 13 according to their locations. The graphs surrounding the island represent the temporal dynamics in coral cover (in percent) on the corresponding reefs. For each reef, black points represent indiviudal observations; red lines correspond to the fitted logistic models (with the exception of reef 10 for which the temporal dynamic is better represented using a linear model) with their corresponding 95% confidence intervals. R
2 is the coefficient of determination.
Fig 2. Principal coordinates ordination (PCoA) biplots of beta diversity and its components.(a) PCoA of the square-rooted dissimilarity matrix among all observations. Dissimilarity was measured using the percentage-difference (alias Bray-Curtis) index on square-rooted fish biomass data. (b) PCoA of the dissimilarity matrix accounting only for biomass replacement between pairs of observations (β
replacement). (c) PCoA on the dissimilarity matrix accounting only for biomass differences between pairs of observations (β
biomasdifference). Groups identified in ordinations (a) and (b) are the four groups identified using MRT. In ordination (c), observations are ordered along a total square-rooted biomass gradient (see S3 Fig for details).
Fig 3. Local contributions to beta diversity (LCBD) per reef and year.LCBD values indicate the extent to which each local community is unique in terms of its composition. Circle surface areas are proportional to the LCBD values. Circles with a black rim indicate significant LCBD indices at the 0.05 level. Marginal diagrams indicate LCBD value averages per year (upper margin) and per reef (right margin); values are multiplied by 1000.
Fig 4. Triangle plots illustrating the contributions of three mechanisms: stability in species composition, compensatory changes in biomass among species and fluctuations in total community biomass to the temporal and spatial responses of fish communities.(a) Temporal response measure as beta diversity for the 13 spatial groups (13 reefs with 14 time steps for each reef). (b) Spatial response measure as beta diversity for the 14 temporal groups (14 time steps with 13 reefs for each time steps). Blue points represent the means over the different time step pairs (or reef pairs).
Fig 5. Species contributions to the temporal shift in fish composition for each reef.Only the seven species that contributed the most to this temporal trend are pictured. These species are ordered according to their relative frequencies in the whole data set 1: Ctenochaetus striatus (a scraper, Acanthuridae); 2: Chlorurus sordidus and 3: Scarus psittacus (two scrapers, Scaridae); 4: Naso lituratus (a browser, Acanthuridae); 5: Acanthurus olivaceus (a grazer, Acanthuridae); 6: Scarus oviceps (a scraper, Scaridae) and 7: Odonus niger (a plankton feeder, Balistidae). Polygon lengths are proportional to the species contributions to the temporal shift. Positive contributions (in blue) indicate species whose biomasses increased through time, while negative contributions (red) indicate species whose biomasses decreases through time. Polygons of species that are also indicators are surrounded with a black frame (see also S4 Fig).
Adam,
Herbivory, connectivity, and ecosystem resilience: response of a coral reef to a large-scale perturbation.
2011, Pubmed
Adam,
Herbivory, connectivity, and ecosystem resilience: response of a coral reef to a large-scale perturbation.
2011,
Pubmed
Anderson,
Navigating the multiple meanings of β diversity: a roadmap for the practicing ecologist.
2011,
Pubmed
Bruelheide,
Peeking at ecosystem stability: making use of a natural disturbance experiment to analyze resistance and resilience.
2009,
Pubmed
Carr,
Biodiversity, population regulation, and the stability of coral-reef fish communities.
2002,
Pubmed
Chase,
Drought mediates the importance of stochastic community assembly.
2007,
Pubmed
De'ath,
The 27-year decline of coral cover on the Great Barrier Reef and its causes.
2012,
Pubmed
,
Echinobase
Dornelas,
Assemblage time series reveal biodiversity change but not systematic loss.
2014,
Pubmed
Feary,
Habitat choice, recruitment and the response of coral reef fishes to coral degradation.
2007,
Pubmed
,
Echinobase
France,
Diversity and dispersal interactively affect predictability of ecosystem function.
2006,
Pubmed
Grime,
Long-term resistance to simulated climate change in an infertile grassland.
2008,
Pubmed
Grime,
The response of two contrasting limestone grasslands to simulated climate change.
2000,
Pubmed
Harley,
The impacts of climate change in coastal marine systems.
2006,
Pubmed
Hughes,
Phase shifts, herbivory, and the resilience of coral reefs to climate change.
2007,
Pubmed
Kayal,
Predator crown-of-thorns starfish (Acanthaster planci) outbreak, mass mortality of corals, and cascading effects on reef fish and benthic communities.
2012,
Pubmed
,
Echinobase
Laliberté,
Land-use intensification reduces functional redundancy and response diversity in plant communities.
2010,
Pubmed
Legendre,
Statistical methods for temporal and space-time analysis of community composition data.
2014,
Pubmed
Legendre,
Beta diversity as the variance of community data: dissimilarity coefficients and partitioning.
2013,
Pubmed
Loreau,
Species synchrony and its drivers: neutral and nonneutral community dynamics in fluctuating environments.
2008,
Pubmed
Magurran,
Temporal turnover and the maintenance of diversity in ecological assemblages.
2010,
Pubmed
Nyström,
Coral reef disturbance and resilience in a human-dominated environment.
2000,
Pubmed
Osborne,
Disturbance and the dynamics of coral cover on the Great Barrier Reef (1995-2009).
2011,
Pubmed
,
Echinobase
Pasari,
Several scales of biodiversity affect ecosystem multifunctionality.
2013,
Pubmed
Pratchett,
Specialization in habitat use by coral reef damselfishes and their susceptibility to habitat loss.
2012,
Pubmed
,
Echinobase
Ripa,
Food web dynamics in correlated and autocorrelated environments.
2003,
Pubmed
Schindler,
Population diversity and the portfolio effect in an exploited species.
2010,
Pubmed
Steiner,
Dispersal promotes compensatory dynamics and stability in forced metacommunities.
2011,
Pubmed
Thorson,
Spatial variation buffers temporal fluctuations in early juvenile survival for an endangered Pacific salmon.
2014,
Pubmed
Thrush,
Forecasting the limits of resilience: integrating empirical research with theory.
2009,
Pubmed
Walbran,
Evidence from Sediments of Long-Term Acanthaster planci Predation on Corals of the Great Barrier Reef.
1989,
Pubmed
,
Echinobase
Wang,
Ecosystem stability in space: α, β and γ variability.
2014,
Pubmed
Wolkovich,
Temporal ecology in the Anthropocene.
2014,
Pubmed